Teamified
Fintech
SeniorDataEngineer
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“Senior Data Engineer at Teamified. Skills: Data Engineering, Cloud Data Platforms, Snowflake, Data Modeling. Design cloud-native data platforms. Build cloud-native data platforms”
What You'll Achieve.
Snowflake platform scalable; Snowflake platform performant; Snowflake platform secure; Snowflake platform cost-efficient; Snowflake platform trusted; Data pipelines reliable; Data pipelines monitored; Data pipelines automated; Data transformations reliable; Data transformations monitored; Data transformations automated; Stakeholders rely on data; Data models maintainable; Data models scalable; Reporting structures maintainable; Reporting structures scalable; Data quality issues resolved; Self-service data capabilities; Documentation comprehensive; Documentation maintained; Improvements in data maturity; Improvements in operational efficiency; Improvements in analytics capability; Data engineering recognized as partner
Industry & Context.
Analytical; Troubleshooting; Problem-solving
What They're Looking For.
Must Have
5+ years Data Engineering, Experience designing multi-region data platforms, Experience driving performance optimization, Experience implementing governance models, Experience implementing security models, Experience implementing access control models, Experience implementing data protection models, Experience with cloud platforms, Experience with data transformation tools, Experience with orchestration tools, Experience integrating structured data, Experience integrating semi-structured data, Experience managing large datasets, Experience managing complex datasets, Analytical capabilities, Troubleshooting capabilities, Problem-solving capabilities, Excellent communication skills, Excellent stakeholder engagement skills, Ability to work in fast-paced environments, Ability to work in agile environments, Ability to work in collaborative environments
Nice to Have
Experience within fintech, Experience within payments, Experience within SaaS, Experience within regulated industries, Experience with real-time data streaming, Exposure to machine learning pipelines, Exposure to advanced analytics workloads, Experience implementing CI/CD, Familiarity with Infrastructure-as-Code tools, Experience with data observability tooling, Experience with data quality tooling, Exposure to PCI-DSS, Exposure to ISO27001, Exposure to SOC 2, Experience mentoring engineers, Experience leading technical initiatives
What You'll Do.
Design cloud-native data platforms
Build cloud-native data platforms
Maintain cloud-native data platforms
Design data pipelines
Maintain data pipelines
Lead Snowflake architecture
Optimize Snowflake architecture
Manage Snowflake operations
Develop ELT pipelines
Develop ETL pipelines
Deliver high-quality data
Build reusable data frameworks
Build maintainable data frameworks
Build transformation models
Build orchestration workflows
Develop infrastructure-as-code
Automate data platform provisioning
Optimize data storage performance
Optimize data storage scalability
Optimize data storage cost
Optimize transformation performance
Optimize transformation scalability
Optimize transformation cost
Optimize query workload performance
Optimize query workload scalability
Optimize query workload cost
Support near real-time data processing
Support batch-based data processing
Improve Snowflake architecture
Tune Snowflake performance
Manage Snowflake security
Manage Snowflake governance
Implement Snowflake best practices
Design Snowflake schemas
Optimize Snowflake schemas
Design scalable data modelling
Implement scalable data modelling
Manage Snowflake access controls
Manage Snowflake roles
Manage Snowflake permissions
Manage secure data sharing
Monitor Snowflake usage
Monitor Snowflake query performance
Monitor Snowflake cost consumption
Drive Snowflake optimization
Support data lifecycle management
Support data retention policies
Support governance policies
Design curated data models
Maintain curated data models
Design trusted data models
Maintain trusted data models
Design scalable data models
Maintain scalable data models
Translate business requirements
Enable self-service analytics
Structure semantic layers
Support reporting platforms
Optimize BI platforms
Optimize reporting platforms
Ensure data structures support reporting
Ensure data models support reporting
Ensure data structures support analytics
Ensure data models support analytics
Implement data quality controls
Implement validation frameworks
Implement reconciliation processes
Implement monitoring capabilities
Identify data integrity issues
Resolve data integrity issues
Identify data consistency issues
Resolve data consistency issues
Identify performance issues
Resolve performance issues
Establish observability
Establish operational monitoring
Contribute to data governance
Contribute to data lineage
Contribute to data cataloguing
Contribute to metadata management
Ensure platform compliance
Ensure engineering process compliance
Collaborate with Product
Collaborate with Engineering
Collaborate with Operations
Collaborate with Finance
Collaborate with Business
Deliver impactful data solutions
Mentor junior engineers
Support junior engineers
Mentor junior analysts
Support junior analysts
Contribute to data engineering standards
Contribute to best practices
Contribute to platform strategy
Drive continuous improvement
Improve data architecture
Improve delivery practices
Improve organizational data literacy
Improve organizational data maturity
How You'll Work.
Team & Collaboration
Cross-functional teams; Product teams; Engineering teams; Operations teams; Finance teams; Business teams; Analysts; Junior engineers; Junior analysts
Communication Scope
Stakeholder engagement; Technical documentation; Data literacy
Process & Methodology
Agile, Roadmap planning
Full Job Description
**About Teamified** Teamified works with top enterprises and digital native businesses in Australia helping them build their remote teams in India, Philippines and Sri Lanka. We pride ourselves with hiring great teams to work on exciting game changing technology. Teamified currently has 200+ engineers, testers, product managers etc. working across 20+ partners. We focus on uplifting the way organizations build and manage their remote teams through great working relationships, trust, integrity, culture and hiring processes. Additional to this we are building our own technology product offerings. We strive to deliver the best outcomes for our customers, our partners and our people. **About Our Client** Our client is a leading fintech company that helps businesses simplify complex payment workflows through a secure, API-driven payment platform. Their solutions enable organizations to collect, manage, reconcile, and automate payments at scale, supporting everything from payment orchestration and payouts to fraud management and embedded financial services. They work with mid-market and enterprise businesses across a range of industries to create seamless and efficient payment experiences. **About the Role ** We are seeking an experienced Senior Data Engineer to design, build, and scale modern cloud-based data platforms that enable trusted analytics, operational reporting, and data-driven decision making across the organization. This role will play a critical part in evolving our data architecture, data engineering practices, and analytics capabilities, with a strong focus on Snowflake as the core enterprise data platform. As a senior member of the data team, you will be responsible for building robust and scalable data pipelines, optimizing data models, improving data quality and governance, and enabling self-service analytics capabilities for business and engineering stakeholders. The ideal candidate combines strong technical depth in modern data engineering practices w
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